SOTAVerified

Diversity

Diversity in data sampling is crucial across various use cases, including search, recommendation systems, and more. Ensuring diverse samples means capturing a wide range of variations and perspectives, which leads to more robust, unbiased, and comprehensive models. In search use cases, for instance, diversity helps avoid redundancy, ensuring that users are exposed to a broader set of relevant information rather than repeated similar results.

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 3276–3300 of 9051 papers

TitleStatusHype
Estimation of Distribution Algorithms with Matrix Transpose in Bayesian Learning—0
Enrich the content of the image Using Context-Aware Copy Paste—0
Position: Measure Dataset Diversity, Don't Just Claim It—0
An Unsupervised Domain Adaptation Method for Locating Manipulated Region in partially fake Audio—0
Uncovering Semantics and Topics Utilized by Threat Actors to Deliver Malicious Attachments and URLs—0
On the Universal Truthfulness Hyperplane Inside LLMsCode0
Autoregressive Speech Synthesis without Vector Quantization—0
Feasibility Study on Active Learning of Smart Surrogates for Scientific Simulations—0
Unity in Diversity: Multi-expert Knowledge Confrontation and Collaboration for Generalizable Vehicle Re-identification—0
A 'MAP' to find high-performing soft robot designs: Traversing complex design spaces using MAP-elites and Topology Optimization—0
A Two-stage Evolutionary Framework For Multi-objective Optimization—0
Few-Shot Image Generation by Conditional Relaxing Diffusion Inversion—0
Improving the Transferability of Adversarial Examples by Feature Augmentation—0
V-VIPE: Variational View Invariant Pose Embedding—0
Beyond Aesthetics: Cultural Competence in Text-to-Image ModelsCode0
Quality Diversity for Robot Learning: Limitations and Future Directions—0
Leveraging image captions for selective whole slide image annotationCode0
Ada-adapter:Fast Few-shot Style Personlization of Diffusion Model with Pre-trained Image Encoder—0
Invariance Principle Meets Vicinal Risk Minimization—0
A Factuality and Diversity Reconciled Decoding Method for Knowledge-Grounded Dialogue Generation—0
MST5 -- Multilingual Question Answering over Knowledge GraphsCode0
Spatial Focused Bitemporal Interactive Network for Remote Sensing Image Change DetectionCode0
Sub-SA: Strengthen In-context Learning via Submodular Selective AnnotationCode0
Analysis of genetic diversity among some Iraqi durum wheat cultivars revealed by different molecular markers—0
Harmony in Diversity: Merging Neural Networks with Canonical Correlation AnalysisCode0
Show:102550
← PrevPage 132 of 363Next →

No leaderboard results yet.